Research on Key Influencing Factors of Digital Education in University Teaching

Bo Yang; Ziyue Zhao; Yuanyuan Dou

doi:10.6918/IJOSSER.202509_8(9).0015

Authors

Bo Yang
Ziyue Zhao
Yuanyuan Dou

DOI:

https://doi.org/10.6918/IJOSSER.202509_8(9).0015

Keywords:

Igital education; University teaching; Influencing factors; Pedagogical Reform.

Abstract

To investigate the pivotal factors impacting the efficacy of digital education in higher education, this study constructed a four-dimensional analytical framework (Teacher, Student, Technology, and Institution). The findings reveal that teacher digital competency, student capacity for self-directed learning, technological affordance, and institutional incentive mechanisms are the core determinants of implementation outcomes, exhibiting a systemic interplay. The study concludes that holistic optimization is imperative, achievable through establishing an empowerment-oriented faculty development system, providing comprehensive student learning support, fostering an open smart education ecosystem, and cultivating a sustainable culture of incentives, thereby enhancing the quality of talent development.

Downloads

Download data is not yet available.

References

[1] Liang Chen. Teaching Transformation and Role Change of College Teachers for Adaptive Learning [J]. Jiangsu Higher Education, 2024(3): 85-90.

[2] Yao Zhehui. "Change" and "Unchange" of College Teachers in the Intelligent Era [J]. Journal of Teacher Education, 2023(4): 93-100.

[3] Ning Lianju, Liu Jingtao, Su Fugen. Digital Transformation of Higher Education: Connotation, Challenges and Paths [J]. China Education Information Technology, 2022(10): 3-10.

[4] Staring F,Brown M,Bacsich P,et al.Digital higher education:Emerging quality standards, practices and supports[J].OECD Education Working Papers,2022,(281):1-97.

[5] Zhu Zhiting, Hu Jiao. Analysis and Research Prospects on the Essence of Educational Digital Transformation [J]. Chinese Educational Technology, 2022(4): 1-8, 25.

[6] Xu Yingjie, Liu Chuangji, Huang Beiqing, et al. Research on the Experimental Teaching Reform of General Chemistry Courses Based on the Flipped Classroom Concept and Seminar Teaching Mode [J]. Packaging Engineering, 2024, 45 (S2): 71-74.

[7] Kong Wen, Wei Qian. Research on Flipped Classroom in Foreign Language Teaching: A Comprehensive Review [J]. Frontiers of Foreign Language Education Research, 2024, 7 (01): 52-59+92. DOI:10.20083/j.cnki.fleic.2024.01.052.

[8] Geng Fengkang, Liu Yang, Wu Yinlin. Research on the Innovation of College Physical Education Teaching Mode under the New Era - Review of "Research on the Construction of Flipped Classroom Mode in College Physical Education" [J]. Applied Chemical Industry, 2023, 52 (08): 2506. DOI:10.16581/j.cnki.issn1671-3206.2023.08.024.

[9] Li Qiujin, Jiang Bo. Construction of Virtual Reality (VR) Training Teaching Mode under the Digitalization Transformation [J]. Southern Metal, 2025, (03): 41-44.

[10] Tang Tiexin, Liu Qirui, Li ZhiGao, et al. Design and Practice of Digital Constructivist Learning Mode [J]. Health Vocational Education, 2019, 37 (01): 23-24.

[11] You Xinyue, Liu Fengjuan. Research on Online Cooperative Inquiry Strategies for College Students from the Perspective of Connectivism Learning Theory [J]. China Educational Technology Equipment, 2025, (02): 7-11.

[12] Yan Hanbing, Yang Shuting, Yu Shuzhen, et al. Empowering Immersive Learning with Generative Artificial Intelligence: Mechanism, Model and Application [J]. Research on Educational Technology, 2025, 46 (02): 64-71. DOI:10.13811 /j. cnki .eer.2025.02.009.

[13] Tian Yuan, Liu Hainuo, Nie Xinxiao, et al. Interaction Characteristics and Evaluation Model Construction of MOOC Teaching in the Digital Age [J]. Journal of Sichuan Normal University (Natural Science Edition), 2025, 48 (04): 457-465+424.

[14] Qian Xiaodong. Research on the Online-Offline Hybrid Teaching Mode of "MOOC + Face-to-Face Classroom" [J]. Contemporary Sports Science, 2023, 13 (08): 81-84. DOI:10.16655/j.cnki.2095-2813.2301-1579-6272.

[15] Barba D G P ,Oliveira A E ,English N . Development and validation of a learning analytics rubric for self-regulated learning [J]. Educational technology research and development, 2025, (prepublish): 1-23.

[16] Khor T E ,How J Z ,Koh E , et al. Learning analytics techniques: an overview and future research possibilities [J]. The International Journal of Information and Learning Technology, 2025, 42 (3): 269-295.